How ClickHouse Uses Prometheus

ClickHouse 26.9 introduces conditional LIMIT boundaries, incremental refreshes for append-only materialized views, disk spilling for DISTINCT, time-limited tokens, and faster min/max/count queries.

ClickHouse PromQL support lets you store Prometheus metrics in ClickHouse Cloud, query them using familiar PromQL, and bring metrics together with your logs and traces without rewriting queries in SQL.

Replicate MySQL and MariaDB data into ClickHouse Cloud with the generally available MySQL CDC connector, featuring faster parallel snapshots, safer production defaults, improved observability, and infrastructure-as-code support.

After claims that ClickHouse is “winning the observability wars” sparked debate, we reflect on why it has become a leading storage and query engine, where it still falls short, and why winning the database layer isn’t the same as winning observability.

ClickHouse Managed Postgres uses runtime budgets, cgroup limits, and disk-full session exemptions to keep supporting services from compromising database availability.

Explore ClickStack’s latest upgrades, from richer trace navigation and Prometheus connectivity to smarter dashboards, quieter alerts, faster filtering and support for exponential histogram metrics.

How we rebuilt ClickHouse Cloud's autoscaling orchestration on Kubernetes' controller-runtime and a ClickHouse-powered signals table, adding a reactive fast path that scales services up in seconds instead of waiting for the next scheduled pass.

Using ClickHouse for observability and wondering which interface best fits your workflows? We explore ClickStack, Grafana, and when it makes sense to use both.

Februarys' ClickStack update brings major improvements to both Cloud and open source, including new query workflows, enhanced metrics exploration, performance optimizations, and expanded alerting options.

Retention limits, sampling, and metric roll-ups aren't observability best practices - they're workarounds for storage systems that can't handle full-fidelity data, and they're becoming a hard blocker for AI-driven workflows.

Why does high cardinality break Prometheus but not ClickHouse? In Part 1, we explore the architectural tradeoffs of Prometheus and other series-based systems, showing how cardinality impacts memory, ingestion, querying, and operational stability at scale.

In this blog, we explore why high cardinality behaves fundamentally differently in column-oriented databases like ClickHouse, and why the costs appear in very different places than in traditional series-based systems like Prometheus.

On June 15, 2016, ClickHouse went open source under the Apache 2.0 license. Ten years later, it's one of the most widely deployed analytical databases in the world.

We’ve shipped dashboard actions, custom number palettes, flexible event patterns, a built-in RUM experience, major trace view improvements, expanded MCP capabilities, scoped dashboard filters, and much more in ClickStack this May.

The article discusses the evolving role of metrics in observability, emphasizing that while they remain important, their function is shifting towards being an optimization layer rather than the cor...

The article reviews the significant developments and features introduced in ClickStack over its first seven months since launch, highlighting advancements such as JSON support, integration with Cli...

The article discusses the rising costs associated with observability in software engineering and proposes a shift towards open, cost-efficient architectures.

ClickHouse version 25. 8 introduces 45 new features, 47 performance optimizations, and 119 bug fixes, enhancing its capabilities as a high-performance analytical database.

The article discusses the importance of LLM observability using ClickStack, OpenTelemetry, and MCP, highlighting how to instrument LibreChat for enhanced insights into AI-driven applications.

The article discusses the evolution of ClickHouse's observability platform, LogHouse, as it scales beyond 100 petabytes of data.

The article discusses how Dash0 transitioned to using ClickHouse as a core database technology for their observability platform, leveraging its efficiency and scalability to handle OpenTelemetry da...

This article discusses the implementation of ClickHouse's Bring Your Own Cloud (BYOC) model on AWS, detailing the benefits of customer-controlled cloud environments and the challenges faced during ...

This article discusses the open sourcing of kubenetmon, a tool developed by ClickHouse to monitor data transfer in ClickHouse Cloud.

The article discusses the evolution of SQL-based observability, focusing on ClickHouse's advancements over the past year.

ClickHouse Release 24. 8 LTS introduces 19 new features, 18 performance optimizations, and 65 bug fixes, emphasizing community contributions and long-term support.

This article details the development of a ClickHouse-powered logging platform, named LogHouse, which efficiently manages over 19 PiB of log data while significantly reducing costs compared to tradi...

ClickHouse Keeper is an open-source alternative to ZooKeeper, designed for better resource efficiency and performance in distributed systems.

SigNoz is an open-source Application Performance Monitoring (APM) solution that integrates metrics, traces, and logs based on OpenTelemetry, designed to provide a comprehensive observability experi...

This article discusses how to build an observability solution using ClickHouse, focusing specifically on collecting, storing, and querying trace data with OpenTelemetry.

This article discusses building an observability solution using ClickHouse, focusing specifically on log data collection and querying.

The ClickHouse Release 22. 12 introduces significant enhancements including 17 new features, 8 performance optimizations, and 39 bug fixes.